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Keywords = non-orthologous displacements

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16 pages, 5341 KiB  
Article
Building a Cell House from Cellulose: The Case of the Soil Acidobacterium Acidisarcina polymorpha SBC82T
by Svetlana E. Belova, Daniil G. Naumoff, Natalia E. Suzina, Vladislav V. Kovalenko, Nataliya G. Loiko, Vladimir V. Sorokin and Svetlana N. Dedysh
Microorganisms 2022, 10(11), 2253; https://doi.org/10.3390/microorganisms10112253 - 14 Nov 2022
Cited by 4 | Viewed by 2782
Abstract
Acidisarcina polymorpha SBC82T is a recently described representative of the phylum Acidobacteriota from lichen-covered tundra soil. Cells of this bacterium occur within unusual saccular chambers, with the chamber envelope formed by tightly packed fibrils. These extracellular structures were most pronounced in old [...] Read more.
Acidisarcina polymorpha SBC82T is a recently described representative of the phylum Acidobacteriota from lichen-covered tundra soil. Cells of this bacterium occur within unusual saccular chambers, with the chamber envelope formed by tightly packed fibrils. These extracellular structures were most pronounced in old cultures of strain SBC82T and were organized in cluster-like aggregates. The latter were efficiently destroyed by incubating cell suspensions with cellulase, thus suggesting that they were composed of cellulose. The diffraction pattern obtained for 45-day-old cultures of strain SBC82T by using small angle X-ray scattering was similar to those reported earlier for mature wood samples. The genome analysis revealed the presence of a cellulose biosynthesis locus bcs. Cellulose synthase key subunits A and B were encoded by the bcsAB gene whose close homologs are found in genomes of many members of the order Acidobacteriales. More distant homologs of the acidobacterial bcsAB occurred in representatives of the Proteobacteria. A unique feature of bcs locus in strain SBC82T was the non-orthologous displacement of the bcsZ gene, which encodes the GH8 family glycosidase with a GH5 family gene. Presumably, these cellulose-made extracellular structures produced by A. polymorpha have a protective function and ensure the survival of this acidobacterium in habitats with harsh environmental conditions. Full article
(This article belongs to the Special Issue Feature Collection in Environmental Microbiology Section 2021-2022)
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25 pages, 5981 KiB  
Article
Genomics-Based Reconstruction and Predictive Profiling of Amino Acid Biosynthesis in the Human Gut Microbiome
by German A. Ashniev, Sergey N. Petrov, Stanislav N. Iablokov and Dmitry A. Rodionov
Microorganisms 2022, 10(4), 740; https://doi.org/10.3390/microorganisms10040740 - 30 Mar 2022
Cited by 21 | Viewed by 4614
Abstract
The human gut microbiota (HGM) have an impact on host health and disease. Amino acids are building blocks of proteins and peptides, also serving as precursors of many essential metabolites including nucleotides, cofactors, etc. Many HGM community members are unable to synthesize some [...] Read more.
The human gut microbiota (HGM) have an impact on host health and disease. Amino acids are building blocks of proteins and peptides, also serving as precursors of many essential metabolites including nucleotides, cofactors, etc. Many HGM community members are unable to synthesize some amino acids (auxotrophs), while other members possess complete biosynthetic pathways for these nutrients (prototrophs). Metabolite exchange between auxotrophs and prototrophs affects microbial community structure. Previous studies of amino acid biosynthetic phenotypes were limited to model species or narrow taxonomic groups of bacteria. We analyzed over 2800 genomes representing 823 cultured HGM species with the aim to reconstruct biosynthetic pathways for proteinogenic amino acids. The genome context analysis of incomplete pathway variants allowed us to identify new potential enzyme variants in amino acid biosynthetic pathways. We further classified the studied organisms with respect to their pathway variants and inferred their prototrophic vs. auxotrophic phenotypes. A cross-species comparison was applied to assess the extent of conservation of the assigned phenotypes at distinct taxonomic levels. The obtained reference collection of binary metabolic phenotypes was used for predictive metabolic profiling of HGM samples from several large metagenomic datasets. The established approach for metabolic phenotype profiling will be useful for prediction of overall metabolic properties, interactions, and responses of HGM microbiomes as a function of dietary variations, dysbiosis and other perturbations. Full article
(This article belongs to the Special Issue The Genetic and Biochemical Diversity of Gut Microbiota)
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23 pages, 2438 KiB  
Article
Survey and Validation of tRNA Modifications and Their Corresponding Genes in Bacillus subtilis sp Subtilis Strain 168
by Valérie de Crécy-Lagard, Robert L. Ross, Marshall Jaroch, Virginie Marchand, Christina Eisenhart, Damien Brégeon, Yuri Motorin and Patrick A. Limbach
Biomolecules 2020, 10(7), 977; https://doi.org/10.3390/biom10070977 - 30 Jun 2020
Cited by 37 | Viewed by 6037
Abstract
Extensive knowledge of both the nature and position of tRNA modifications in all cellular tRNAs has been limited to two bacteria, Escherichia coli and Mycoplasma capricolum. Bacillus subtilis sp subtilis strain 168 is the model Gram-positive bacteria and the list of the [...] Read more.
Extensive knowledge of both the nature and position of tRNA modifications in all cellular tRNAs has been limited to two bacteria, Escherichia coli and Mycoplasma capricolum. Bacillus subtilis sp subtilis strain 168 is the model Gram-positive bacteria and the list of the genes involved in tRNA modifications in this organism is far from complete. Mass spectrometry analysis of bulk tRNA extracted from B. subtilis, combined with next generation sequencing technologies and comparative genomic analyses, led to the identification of 41 tRNA modification genes with associated confidence scores. Many differences were found in this model Gram-positive bacteria when compared to E. coli. In general, B. subtilis tRNAs are less modified than those in E. coli, even if some modifications, such as m1A22 or ms2t6A, are only found in the model Gram-positive bacteria. Many examples of non-orthologous displacements and of variations in the most complex pathways are described. Paralog issues make uncertain direct annotation transfer from E. coli to B. subtilis based on homology only without further experimental validation. This difficulty was shown with the identification of the B. subtilis enzyme that introduces ψ at positions 31/32 of the tRNAs. This work presents the most up to date list of tRNA modification genes in B. subtilis, identifies the gaps in knowledge, and lays the foundation for further work to decipher the physiological role of tRNA modifications in this important model organism and other bacteria. Full article
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